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Vector Median Splatting for Image Based Rendering

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Computer Vision and Graphics (ICCVG 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6375))

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Abstract

In the paper a method of missing data completion based on the vector median filtering is presented, which may be useful as an adaptive splatting algorithm for Image Based Rendering. Presented approach has been verified using some scanned face models rendered using the IBR method with the use of standard splatting and proposed method. Obtained results are promising and may be a starting point for further research related to the adaptive change of the splat weighting function, especially as a support for the real-time face recognition applications.

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Author information

Authors and Affiliations

  1. Szczecin, Faculty of Electrical Engineering, Department of Signal Processing and Multimedia Engineering, West Pomeranian University of Technology, 26. Kwietnia 10, 71-126, Szczecin, Poland

    Krzysztof Okarma, Aleksandra Miętus & Mateusz Tecław

Authors
  1. Krzysztof Okarma
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  2. Aleksandra Miętus
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  3. Mateusz Tecław
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Institute of Computer Science, The Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Konrad Wojciechowski

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© 2010 Springer-Verlag Berlin Heidelberg

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Okarma, K., Miętus, A., Tecław, M. (2010). Vector Median Splatting for Image Based Rendering. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15907-7_19

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  • DOI: https://doi.org/10.1007/978-3-642-15907-7_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15906-0

  • Online ISBN: 978-3-642-15907-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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